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» Explicit Batching for Distributed Objects
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IPSN
2005
Springer
14 years 2 months ago
Lazy inference on object identities in wireless sensor networks
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...
Jaewon Shin, Nelson Lee, Sebastian Thrun, Leonidas...
ICIAP
1999
ACM
14 years 25 days ago
Determining the Skeletons of the Auroras
The auroral emissions observed in the high-latitude regions encircling the magnetic poles are a key element in studying plasmaphysical processes in the near-Earth space, the magne...
Mikko T. Syrjäsuo, Tuija I. Pulkkinen
TKDE
1998
111views more  TKDE 1998»
13 years 8 months ago
Efficient Data Mining for Path Traversal Patterns
—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects...
Ming-Syan Chen, Jong Soo Park, Philip S. Yu
SAC
2002
ACM
13 years 8 months ago
A comprehensive model for arbitrary result extraction
Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client�...
Neal Sample, Dorothea Beringer, Gio Wiederhold
ASPLOS
2010
ACM
14 years 1 months ago
An asymmetric distributed shared memory model for heterogeneous parallel systems
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...